k-Space tomography for spatial-spectral monitoring in cellular networks

D. Prather, J. Murakowski, G. Schneider, S. Shi, C. Schuetz, Dylan D. Ross
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Abstract

A technique for the spatial-spectral analysis of the cellular environment by performing a near real-time imaging of k-space is presented. The system uses a random spatial-spectral dispersion map from an optically-upconverted RF phased array receiver and tomographic reconstruction techniques to recover the cellular source scene. While spatial dispersion is inherent to phased array antennas, temporal dispersion is introduced by randomizing the fiber length for each up-converted antenna element, which contains the received RF signal as a sideband on an optical carrier. Each fiber is routed into a common fiber bundle where the filtered RF-sidebands are launched into free space, expand and overlap. The resulting complex superposition produces an interference pattern unique to a given RF source location and frequency, which is used to recover the spatial direction and frequency of each source in the cellular environment. We present the theory of operation and experimental results of this approach.
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用于蜂窝网络空间频谱监测的k-空间断层扫描
提出了一种通过对k空间进行近实时成像来对细胞环境进行空间光谱分析的技术。该系统使用来自光学上转换射频相控阵接收器的随机空间光谱色散图和层析重建技术来恢复蜂窝源场景。虽然空间色散是相控阵天线固有的,但时间色散是通过随机化每个上转换天线单元的光纤长度引入的,该单元将接收到的射频信号作为边带包含在光载波上。每根光纤被布线到一个公共光纤束中,过滤后的射频边带被发射到自由空间,扩展和重叠。由此产生的复杂叠加产生了给定射频源位置和频率的唯一干扰图案,用于恢复蜂窝环境中每个源的空间方向和频率。给出了该方法的操作原理和实验结果。
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